Open source replication of real-world systems
As the first Student Chapter of the digital twins field, Technical Arts is dedicated to the modeling of dynamic systems in order to replicate their behavior to predict failures, make corrections in real time, and obtain actionable results from the sensing of their parameters.
About · Research & Engineering · Projects · Communities · Contribute · Contact
What we are. We are a community of students and reasearchers with the hiperfixation of replying dynamic systems starting from its behaviour, modelling it mathematically, testing it physically and bringing its body to te real world trough engineering, giving it brain with IA. Our systems have the objetive of making a real-world phenomena ideal, predicting failures before they happen and getting actionable results by sensing electronically systems. For our open-source phylosophy, anyone can contribute, build and study our Digital Twins.
Philosophy.
- Body-Centered Develop. Every technical/math intensive documentation should have a clear explanation. Is suggested the 4D methodology. for explaining DT.
- Researcher mind is a must. All DT repositories have a "resources" branch, with free-access books and material to understand well the principles of the model.
- Real Brains are strongly valued. As the use of IA is no forbidden, it must be documented when some code block is written by it. Understanding a subject using IA is OK.
- Reproducibility first. Results should be re-runnable; measurements state units, uncertainty, and method.
- Engineering rigor. Clean interfaces, tested code, and maintainable systems over one-off demos.
- Mentorship and continuity. We grow maintainers and hand projects forward, not abandon them.
Objectives.
- Build digital replicas of relevant real-world problem solving systems.
- Publish reproducible research artifacts is a must.
- Bridge academia and industry through applied, high-impact projects.
- Cultivate a durable community of contributors and maintainers.
| Area | Focus |
|---|---|
| Artificial Intelligence | Applied machine learning, model training and evaluation, on-device inference. |
| Data Science | Instrumentation pipelines, analysis, and reproducible experiment workflows. |
| Embedded Systems | Microcontroller and edge firmware, real-time acquisition, sensor integration. |
| Robotics | Control, perception, and autonomy for physical systems. |
| Computer Vision | Imaging, measurement, calibration, and scene understanding. |
| Infrastructure | Reproducible environments, CI/CD, and tooling for research and development. |
| Hardware | PCB design, prototyping, and instrumentation for the physical world. |
| Graphics Software Engineering | Interactive 3D enviroments build with OpenGL/OpenUSD/Unity. |
| Open Source | Libraries, tools, and documentation released and maintained for the community. |
Each area has an open Lead position, currently recruiting. Additional coordination roles may be proposed once a Lead is in place.
Projects that originate and are developed within the collective.
| Project | Description | |
|---|---|---|
| Michelson Interferometer Digital Twin | A real-time digital twin of an optical interferometer, pairing a physics simulation with embedded acquisition for teaching and metrology. | Repository → |
| Ground Twin | A portable ecological instrument: a field digital twin of terrain that couples a RothC soil-carbon model with on-device inference on edge hardware. | Repository → |
DT-HRES is a separate, open-source work line coordinated by Dr. Rasikh Tariq. It is open to new contributors.
We coordinate in two WhatsApp communities (Spanish language)
For the chapter's members and experienced collaborators. It shares progress on projects and events of relevance, and gives access to the main projects and their contributors — a pool of talent specialized in Digital Twins and its interdisciplinary nature (programming, electronics, mechanics, and artificial intelligence). Members may share events, certifications, and hackathons that support joint development and learning in Digital Twins.
Join the Vinculation community →
For contributors building their portfolio through active training and the construction of dynamic-systems replication projects — industrial, natural, and scientific. Access the projects and contribution guides through the shared notes repository, from your terminal:
gh repo clone Technical-Arts-MTY/notas # clone (first time only)
cd notas
python notes.py
Join the Open Source community →
Contributions are welcome, from first-time contributors to experienced maintainers.
- Start here. Read the Contributing Guide and the Code of Conduct.
- Find an issue. Look for
good first issuelabels in the repositories, or open one to propose your idea. - Set up. Follow the development instructions in the project's
README. - Submit a pull request. Keep changes focused, describe what and why, and link the related issue.
- Review and merge. A maintainer will review; discussion happens on the PR.
New contributors are welcome to join the Open Source community above and the biweekly development meeting.
We collaborate with academic groups, industry teams, and the alumni network to turn open engineering into real-world impact.
- Academia — research groups and faculty at Tecnológico de Monterrey and beyond.
- Industry — companies applying and supporting open technology.
- Exatec — the Tecnológico de Monterrey alumni network.
Interested in partnering or sponsoring a project? Get in touch.
The core team stewarding the collective and its projects.
| Name | Role | GitHub |
|---|---|---|
| Aaron | President · Engineering | @Aaron-Cuevas |
| Alfred | Social Responsibility | @AlfredoLuce |
| Joel | Treasury | @— |
| German | Marketing | @GermanGit-Creator |
| Edgar | Math Lead | @EdgarIFI |
Vice President and Project Management roles are currently open.
- GitHub Discussions — github.com/orgs/Technical-Arts-MTY/discussions
- Email —
contact@technicalartsmty.org> - Communities — see Communities above
- Location — Monterrey, Nuevo León, México
Unless otherwise stated, projects in this organization are released under the
MIT License. Each repository specifies its own license; refer to the
LICENSE file within a project for its exact terms.
